Title :
Identification of the payload inertial parameters of industrial manipulators
Author :
Khalil, Waleed ; Gautier, Maxime ; Lemoine, Philippe
Author_Institution :
Ecole Centrale de Nantes
Abstract :
In this paper we present four methods for the identification of the inertial parameters of the load of a manipulator. The knowledge of the values of these parameters can be used to tune the control law parameters in order to improve the dynamic accuracy of the robot. They can also be exploited to verify the load transported by the robot. The methods presented have been validated using Staubli RX 90 robot. The experimentation has been carried out using data collected from the industrial control system (version CS8) of the manufacturer. This version allows to have access to joint positions, velocities and torques. The methods presented are based on solving linear system of equations using weighted least squares solution.
Keywords :
industrial robots; least squares approximations; manipulator dynamics; materials handling; parameter estimation; position control; torque control; velocity control; Staubli RX 90 robot; dynamic modeling; industrial control system; industrial manipulators; joint position; joint torque; joint velocity; payload inertial parameter identification; robot dynamics; weighted least squares; Electrical equipment industry; Friction; Industrial control; Least squares methods; Manipulators; Manufacturing; Open loop systems; Payloads; Robotics and automation; Service robots; Identification; dynamic modeling; inertial parameters; least squares; payload parameters;
Conference_Titel :
Robotics and Automation, 2007 IEEE International Conference on
Conference_Location :
Roma
Print_ISBN :
1-4244-0601-3
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2007.364241